The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/fda02e8f-00bc-4c5b-a92e-3bae47f00e97

Diab Montero, Hamed Ali; Li, Meng (2024): Data underlying the chapter: Towards Estimating the Occurrence of Fault-slip in Large Scale Frictional Experiments and the Field Scale. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/fda02e8f-00bc-4c5b-a92e-3bae47f00e97.v1

Dataset

• Geophysics
• Earth Sciences

Data assimilation, Direct shear experiment, Earthquake forecasting, Rate-and-state friction

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Hamed Ali Diab Montero , Meng Li

Time series of 2D simulations of a finite-difference model representing a large-scale bi-axial friction laboratory experiment. The forward simulations include the evolution of the strains, the velocity, and the state theta at the fault. The dataset includes the initial shear stress distributions of each ensemble member and the prior information used for the calculations of the information content in chapter 6 (Towards Estimating the Occurrence of Fault-slip in Large Scale Frictional Experiments and the Field Scale ) of the Ph.D. thesis "Ensemble data assimilation methods for estimating fault slip and future earthquake occurrences."

• 2024-03-11 first online, published, posted

4TU.ResearchData

g-zipped HDF5 files

• InFocus: An Integrated Approach to Estimating Fault Slip Occurrence (grant code Grant number: DEEP.NL.2018.037) [more info...] NWO (Nederlandse Organisatie voor Wetenschappelijk Onderzoek)

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Engineering.
Utrecht University, Faculty of Geosciences.